Zobrazeno 71 - 80
of 21 579
pro vyhledávání: '"Landman, A."'
The recent 3D medical ViTs (e.g., SwinUNETR) achieve the state-of-the-art performances on several 3D volumetric data benchmarks, including 3D medical image segmentation. Hierarchical transformers (e.g., Swin Transformers) reintroduced several ConvNet
Externí odkaz:
http://arxiv.org/abs/2209.15076
Autor:
Yu, Xin, Yang, Qi, Tang, Yucheng, Gao, Riqiang, Bao, Shunxing, Cai, LeonY., Lee, Ho Hin, Huo, Yuankai, Moore, Ann Zenobia, Ferrucci, Luigi, Landman, Bennett A.
Publikováno v:
Medical Image Computing and Computer Assisted Intervention MICCAI 2022, Cham, 2022, pp202,212
2D low-dose single-slice abdominal computed tomography (CT) slice enables direct measurements of body composition, which are critical to quantitatively characterizing health relationships on aging. However, longitudinal analysis of body composition c
Externí odkaz:
http://arxiv.org/abs/2209.14467
Autor:
Yu, Xin, Yang, Qi, Zhou, Yinchi, Cai, Leon Y., Gao, Riqiang, Lee, Ho Hin, Li, Thomas, Bao, Shunxing, Xu, Zhoubing, Lasko, Thomas A., Abramson, Richard G., Zhang, Zizhao, Huo, Yuankai, Landman, Bennett A., Tang, Yucheng
Transformer-based models, capable of learning better global dependencies, have recently demonstrated exceptional representation learning capabilities in computer vision and medical image analysis. Transformer reformats the image into separate patches
Externí odkaz:
http://arxiv.org/abs/2209.14378
Autor:
Yu, Xin, Tang, Yucheng, Yang, Qi, Lee, Ho Hin, Gao, Riqiang, Bao, Shunxing, Moore, Ann Zenobia, Ferrucci, Luigi, Landman, Bennett A.
Metabolic health is increasingly implicated as a risk factor across conditions from cardiology to neurology, and efficiency assessment of body composition is critical to quantitatively characterizing these relationships. 2D low dose single slice comp
Externí odkaz:
http://arxiv.org/abs/2209.14217
Autor:
Schilling, Kurt G, Grussu, Francesco, Ianus, Andrada, Hansen, Brian, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Syeda, Warda, Wang, Nian, Veraart, Jelle, Roebroeck, Alard, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Soustelle, Lucas, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Frydman, Lucio, van de Looij, Yohan, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Acqua, Flavio Dell', Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C., Obenaus, Andre, Kim, Gene S, Wu, Dan, Bihan, Denis Le, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Jelescu, Ileana O
The value of preclinical diffusion MRI (dMRI) is substantial. While dMRI enables in vivo non-invasive characterization of tissue, ex vivo dMRI is increasingly being used to probe tissue microstructure and brain connectivity. Ex vivo dMRI has several
Externí odkaz:
http://arxiv.org/abs/2209.13371
Autor:
Jelescu, Ileana O, Grussu, Francesco, Ianus, Andrada, Hansen, Brian, Barrett, Rachel L C, Aggarwal, Manisha, Michielse, Stijn, Nasrallah, Fatima, Syeda, Warda, Wang, Nian, Veraart, Jelle, Roebroeck, Alard, Bagdasarian, Andrew F, Eichner, Cornelius, Sepehrband, Farshid, Zimmermann, Jan, Soustelle, Lucas, Bowman, Christien, Tendler, Benjamin C, Hertanu, Andreea, Jeurissen, Ben, Verhoye, Marleen, Frydman, Lucio, van de Looij, Yohan, Hike, David, Dunn, Jeff F, Miller, Karla, Landman, Bennett A, Shemesh, Noam, Anderson, Adam, McKinnon, Emilie, Farquharson, Shawna, Acqua, Flavio Dell', Pierpaoli, Carlo, Drobnjak, Ivana, Leemans, Alexander, Harkins, Kevin D, Descoteaux, Maxime, Xu, Duan, Huang, Hao, Santin, Mathieu D, Grant, Samuel C., Obenaus, Andre, Kim, Gene S, Wu, Dan, Bihan, Denis Le, Blackband, Stephen J, Ciobanu, Luisa, Fieremans, Els, Bai, Ruiliang, Leergaard, Trygve B, Zhang, Jiangyang, Dyrby, Tim B, Johnson, G Allan, Cohen-Adad, Julien, Budde, Matthew D, Schilling, Kurt G
The value of in vivo preclinical diffusion MRI (dMRI) is substantial. Small-animal dMRI has been used for methodological development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. Many of the infl
Externí odkaz:
http://arxiv.org/abs/2209.12994
Autor:
Cherrat, El Amine, Kerenidis, Iordanis, Mathur, Natansh, Landman, Jonas, Strahm, Martin, Li, Yun Yvonna
Publikováno v:
Quantum 8, 1265 (2024)
In this work, quantum transformers are designed and analysed in detail by extending the state-of-the-art classical transformer neural network architectures known to be very performant in natural language processing and image analysis. Building upon t
Externí odkaz:
http://arxiv.org/abs/2209.08167
Autor:
Landman, Rico, Keller, Christoph, Por, Emiel H., Haffert, Sebastiaan, Doelman, David, Stockmans, Thijs
High-contrast imaging instruments need extreme wavefront control to directly image exoplanets. This requires highly sensitive wavefront sensors which optimally make use of the available photons to sense the wavefront. Here, we propose to numerically
Externí odkaz:
http://arxiv.org/abs/2209.05904
Autor:
Boccaletti, A., Chauvin, G., Wildi, F., Milli, J., Stadler, E., Diolaiti, E., Gratton, R., Vidal, F., Loupias, M., Langlois, M., Cantalloube, F., N'Diaye, M., Gratadour, D., Ferreira, F., Tallon, M., Mazoyer, J., Segransan, D., Mouillet, D., Beuzit, J. -L., Bonnefoy, M., Galicher, R., Vigan, A., Snellen, I., Feldt, M., Desidera, S., Rousseau, S., Baruffolo, A., Goulas, C., Baudoz, P., Bechet, C., Benisty, M., Bianco, A., Carry, B., Cascone, E., Charnay, B., Choquet, E., Christiaens, V., Cortecchia, F., de Caprio, V., De Rosa, A., Desgrange, C., D'Orazi, V., Douté, S., Frangiamore, M., Gendron, E., Ginski, C., Huby, E., Keller, C., Kulcsár, C., Landman, R., Lagarde, S., Lagadec, E., Lagrange, A. -M., Kasper, M. Lombini M., Ménard, F., Magnard, Y., Malaguti, G., Maurel, D., Mesa, D., Morgante, G., Pantin, E., Pichon, T., Potier, A., Rabou, P., Rochat, S., Terenzi, L., Thiébaut, E., Tallon-Bosc, I., Raynaud, H. -F., Rouan, D., Sevin, A., Schiavone, F., Schreiber, L., Zanutta, A.
SPHERE+ is a proposed upgrade of the SPHERE instrument at the VLT, which is intended to boost the current performances of detection and characterization for exoplanets and disks. SPHERE+ will also serve as a demonstrator for the future planet finder
Externí odkaz:
http://arxiv.org/abs/2209.02092
Autor:
Li, Thomas Z., Xu, Kaiwen, Gao, Riqiang, Tang, Yucheng, Lasko, Thomas A., Maldonado, Fabien, Sandler, Kim, Landman, Bennett A.
Features learned from single radiologic images are unable to provide information about whether and how much a lesion may be changing over time. Time-dependent features computed from repeated images can capture those changes and help identify malignan
Externí odkaz:
http://arxiv.org/abs/2209.01676